Integrate the TXT Werk API with the Python API

Setup the TXT Werk API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate TXT Werk and Python remarkably fast. Free for developers.

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Popular TXT Werk and Python Actions#

Analyze Text with the TXT Werk API

Send a text to be analyzed by TXTWerk. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Overview of TXT Werk#

The TXT Werk API specializes in advanced natural language processing, providing tools for text analysis such as entity recognition, sentiment analysis, and keyword extraction. Integrating TXT Werk with Pipedream allows users to automate workflows involving text data enrichment and analysis, transforming unstructured text into actionable insights. This integration can enhance applications in content moderation, market research, and customer feedback analysis by automatically processing text data from various sources.

Connect TXT Werk#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    txt_werk: {
      type: "app",
      app: "txt_werk",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.txtwerk.de/rest/txt/analyzer`,
      headers: {
        "X-Api-Key": `${this.txt_werk.$auth.api_key}`,
      },
      params: {
        text: `Pipedream is an integration platform for developers.`,
        services: `categories`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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